Machine Learning jobs in India

Build the AI capability from scratch.

Work with the Chief AI Officer for the strategic decisions for the organisation.

Setup the CoE for AI and work on development of AI architecture basis researc and research.

The Director (AI) will lead the Artificial Intelligence team, shaping the company's vision for AI integration within Mixed Reality (MR) experiences. He/She will be responsible for building a high-performing team, defining the AI strategy, and driving the development and implementation of AI solutions across its product portfolio.

The ideal candidate will drive AI vision and strategy, while also diving deep into the realm of real-time
sports analytics.

To design, develop, implement AI algorithms in an embedded/cloud environment

• Define and manage execution of the Research Group's business strategy including target definitions, growth areas and business plans.

You will provide deep technical expertise in AI technologies and influence cross functional teams to build sophisticated AI applications

Looking for a Senior Data Scientist as a part of our Data Science team, who will be responsible for working on various Data Asset projects and developing Data Science solutions

Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics

Job Description-

• Software engineering experience with main focus on Python, SQL and database design, CI/CD, Git and familiarity with SDLC concepts.
• Good to have knowledge on data science skills, including traditional statistical methods, machine learning, Natural Language Processing and Computer Vision.
• Proven experience scaling data workloads using distributed compute (e.g., Spark, Apache Beam, Kubernetes) and exposing services via backend APIs.
• Experience with a cloud environment (GCP, Azure, AWS), especially using distributed-compute resources (BigQuery, Spark, Redshift, HD Insight) and data processing tools (Apache Airflow/Beam, AWS Glue/Kinesis, Azure Data Factory).
• Experience with machine learning model deployment to production and lifecycle management including ,serving and monitoring in cloud environment.
• Strong attention to detail and teamwork skills with a self-motivated approach.

Location - Noida

Heading the AI Labs and building it from scratch.

Work with the founder for the strategic AI decisions for the organisation.

Leadership role in overseeing the company's analytics function. This individual will be responsible for developing and executing the data strategy, utilising advanced analytics and machine learning techniques to derive actionable insights that drive key business decisions and enhance product offerings. The role demands a combination of strategic thinking, technical expertise, and the ability to guide teams in leveraging data

• About 4 to 5 plus years of experience in data science, analytics, or related roles within the retail industry.

Strong knowledge of data science techniques, including machine learning, statistical modeling, and data visualization.

This role needs specializing in machine learning or a related field having 4+ years' experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning Responsibilities

• Develop predictive models using supervised and unsupervised machine learning/deep learning
• Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection
• Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets
• Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams
• A self-starter who can align the technology solution with a business goal Qualifications
• 3+ years' experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning
• Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc.
• Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch
• Experience in applying deep learning to NLP
• Computer vision modeling a plus
• Experience with designing, building, and optimizing data and model training pipelines
• Experience in SageMaker or Azure ML Studio a plus
• Experience with cloud-based platforms (AWS or Azure) for solution delivery
• Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence, Git) and Test-Driven Development (TDD)

Job Summary:We are seeking a highly skilled and experienced Data Analyst/Scientist to join our team. The ideal candidate will have a strong background in data analysis and programming, with expertise in both Python and SAS. This role involves analyzing complex data sets, developing predictive models, and providing actionable insights to drive business decisions.

Key Responsibilities:

• 
  
  Data Analysis:
  • Collect, clean, and preprocess large datasets from various sources.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
  • Apply statistical techniques and advanced analytical methods to solve business problems.
• 
  
  Programming:
  • Develop and maintain scripts and programs in Python and SAS.
  • Automate data processing and analysis workflows using Python and SAS.
  • Implement and optimize predictive models using machine learning techniques.
• 
  
  Reporting and Visualization:
  • Create interactive dashboards and reports using tools such as Tableau, Power BI, or similar.
  • Present findings and insights to stakeholders through clear and concise visualizations.
• 
  
  Collaboration:
  • Work closely with cross-functional teams, including business analysts, data engineers, and other stakeholders.
  • Provide technical guidance and mentorship to junior team members.
• 
  
  Continuous Improvement:
  • Stay up-to-date with the latest trends and technologies in data science and analytics.
  • Propose and implement improvements to existing processes and methodologies.

Qualifications:

• 
  
  Education:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 
  
  Experience:
  • Proven experience in data analysis, statistical modeling, and programming.
  • Strong proficiency in Python and SAS.
  • Experience with data visualization tools and techniques.
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, etc.).
• 
  
  Skills:
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and accuracy.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong organizational and project management skills.

Preferred Qualifications:

• Experience in the [insert relevant industry, e.g., finance, healthcare, marketing, etc.] industry.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Location - Pune, Mumbai