Data Scientist
Role details
Job location
Tech stack
Job description
In this role as Data Scientist, you will develop and deploy advanced ML models, including large language models (LLMs), to solve complex problems. You'll analyze data, optimize AI pipelines, and collaborate with teams to deliver impactful AI solutions. Additionally, you'll explore emerging AI trends, ensure efficiency practices, and enhance model performance and scalability., * Develop and deploy machine learning (ML) models to solve complex business problems.
- Design, fine-tune, and evaluate large language models (LLMs) for various applications.
- Research and prototype cutting-edge AI models, ensuring scalability and effectiveness.
- Analyze structured and unstructured data to extract actionable insights.
- Build and optimize data pipelines to support AI/ML model training and deployment.
- Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions.
- Conduct A/B testing, performance monitoring, and continuous model improvement.
- Stay updated on the latest advancements in AI/ML technologies and integrate them as appropriate.
- Document processes, models, and findings for technical and non-technical stakeholders.
Requirements
- PhD or Master's degree in Computer Science, Statistics, Mathematics, or related field
- 5+ years of experience in Business intelligence, data science, or related fields
- Strong programming skills in Python, R, or Julia, with expertise in libraries like TensorFlow, PyTorch, or Scikit-learn.
- In-depth understanding of large language models (e.g., GPT, BERT) and natural language processing (NLP).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers) and their applications.
- Proficiency in querying and managing data using SQL, NoSQL, or graph databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow).
- Strong mathematical foundation in statistics, linear algebra, and optimization techniques.
- Experience with distributed computing frameworks like Apache Spark or Hadoop.
- Effective communication skills to present technical findings to diverse audiences.
- Commitment to continuous learning and passion for exploring emerging AI/ML trends.
Benefits & conditions
Working at VentureSoft means being part of a team driven by success and care. We believe in helping each other achieve their aspirations. We prioritize your growth through exceptional mentorship opportunities, continuous learning programs, and a well-defined career path. Our flat and agile structure ensures that your voice is heard, your ideas are valued, and your contributions drive success for our clients and partners. At VentureSoft, you're not just an employee-you're part of a community that supports your aspirations and celebrates your achievements.
- Flexible Work Schedule/Telecommuting
- Vacation / Paid Time Off
- Employee Discounts and Rewards
- Finding Balance
- Health Insurance / Wellness Program
We offer the best employee benefits and perks, and we have created a culture of appreciation within our organization. It's a philosophy that's not necessarily new-the idea that employees who are treated better perform better-but it's starting to gain momentum in the professional world. At Venturesoft, we think that offering major benefits like flexible work schedules, generous PTO, and unique perks like a vacation reimbursement program (or a tuition reimbursement program), full cost for any IT certifications can do wonders for morale and productivity.