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Simform Solutions - Lead Data Scientist - AI / ML Solutions

Simform Solutions - Lead Data Scientist - AI / ML Solutions

Simform SolutionsAhmedabad
7 days ago
Job description

Key Responsibilities :

  • Lead the design, development, and implementation of enterprise-scale AI / ML solutions optimized for real-world applications.
  • Collaborate with cross-functional teams to identify business requirements and translate them into robust AI / ML strategies.
  • Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents.
  • Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms.
  • Conduct analysis of data and identify trends, providing actionable insights to stakeholders.
  • Mentor and guide junior data scientists, promoting a culture of innovation and continuous learning within the team.
  • Engage with clients to communicate project updates, understand their analytical needs, and deliver tailored AI solutions.
  • Apply strong analytical skills to solve complex problems and improve existing models and algorithms.

Required Skills & Qualifications :

  • Minimum 5 years of experience in developing and implementing AI / ML-powered services and algorithms.
  • Experience with deep learning models for structured / unstructured data.
  • Proven track record of building enterprise-scale AI / ML solutions, demonstrating initiative and strategic thinking.
  • Extensive hands-on experience with generative AI and large language models (LLMs).
  • Proficiency in Python and a strong understanding of ML frameworks such as PyTorch and TensorFlow.
  • Familiarity with cloud ML stacks, including Azure and AWS.
  • Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
  • Excellent communication skills with demonstrated ability to lead cross-functional teams effectively.
  • Good understanding of ETL processes and working with data pipelines.
  • Model evaluation and validation techniques (cross-validation, hyperparameter tuning).
  • Time Series Analysis and Forecasting.
  • Model deployment and monitoring (e.g., Docker, Kubernetes, MLflow, Airflow).
  • Building reproducible pipelines for training and serving models.
  • Experience in both team leadership and as an individual contributor.

    • Why Join Us :

  • Young Team, Thriving Culture
  • Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
  • Well-balanced learning and growth opportunities
  • Free health insurance.
  • Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
  • Sponsorship for certifications / events and library service.
  • Flexible work timing, leaves for life events, WFH, and hybrid options

    • ref : hirist.tech)

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