Machine Learning jobs in India

Develop and implement solutions/processes and carry out R&D (Research and Development) to meet

the needs of our AI/ML strategy.

Help in design and development of advanced analytic solutions across functional areas as per

requirement/opportunities.

Our client is looking for a Full Stack Data Scientist who is a technical expert in the whole Data Science Cycle starting from Data Gathering till Modelling till Deployment. Apart from this, the candidate should have a consultative mindset and a zeal to speak to stakeholders at various levels and help them in their data and digital transformation journey.

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.

Lead cross-functional teams to translate business requirements into AI/ML solutions, while providing technical mentorship and driving innovation. Stay abreast of AI/ML advancements, developing scalable production-ready code, optimising models

The role of the Digital Lead Science Operations, Insights & Data Intelligence responsible for providing global strategic leadership to support business operations decision-making through collaborative partnerships with cross-functional stakeholders to enable digital Science teams to identify, prioritize and execute projects that increase and accelerate efficiencies, and reduce redundancy.

The role of the Digital Lead Science Operations, Insights & Data Intelligence responsible for providing global strategic leadership to support business operations decision-making through collaborative partnerships with cross-functional stakeholders to enable digital Science teams to identify, prioritize and execute projects that increase and accelerate efficiencies, and reduce redundancy.

• 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.

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