Optisol Business Solutions

3 weeks ago

ChennaiTamil Nadu, Tamil Nadu, India Optisol Business Solutions Full time

Experience: 4 to 7 years.
We are a tribe of happy people obsessed with customer success .


Sample our work culture at Life at OptiSol Portal Mandatory Skills : Machine Learning | Predictive Analytics | CV or NLP | Python | Cloud (AWS or Azure or GCP) | Model Development | Team Handling | Project Handling | Client Interactions.

Skills Required:

- Lead and mentor a team of machine learning engineers, data scientists, and researchers in designing, developing, and deploying machine learning solutions.

- Define and implement best practices, methodologies, and standards for machine learning model development, evaluation, and deployment.

- Collaborate with clients and stakeholders to understand business requirements, gather project specifications, and provide accurate estimations for project timelines and resources.

- Drive innovation and stay updated with the latest advancements in machine learning, artificial intelligence, predictive analytics, computer vision, and natural language processing.

- Oversee the end-to-end machine learning project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment in production environments.

- Ensure the scalability, reliability, and performance of machine learning systems, and optimize models for accuracy, speed, and efficiency.

- Conduct code reviews, quality assurance, and performance tuning of machine learning algorithms, pipelines, and infrastructure.

- Foster a collaborative and inclusive team culture, encourage knowledge sharing, continuous learning, and professional development among team members.

- Collaborate with cross-functional teams including product managers, software engineers, data engineers, and domain experts to deliver integrated solutions that meet business goals and user requirements.

- Provide technical leadership, guidance, and support in resolving complex technical challenges, troubleshooting issues, and mitigating risks.

- Represent the Machine Learning Engineering practice in client meetings, conferences, and industry events, and contribute to thought leadership initiatives, white papers, and case studies.

Required Technical Skills:

- Proficiency in machine learning techniques, algorithms, and frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.

- Experience with at least two of the following domains: Predictive Analytics, Computer Vision, Natural Language Processing (NLP).

- Strong understanding of data science principles, statistical analysis, and experimental design.

- Knowledge of programming languages such as Python, R, or Scala for machine learning model development, data manipulation, and analysis.

- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Apache Spark) for scalable machine learning deployments.

Leadership and Management Skills:

- Proven experience leading and managing machine learning teams, setting technical direction, and driving team performance.

- Ability to communicate effectively with clients, gather requirements, and provide accurate estimations for project delivery.

- Strong project management skills, including planning, prioritization, resource allocation, and risk management.

- Excellent problem-solving abilities, critical thinking, and decision-making skills in complex technical environments.

- Experience in fostering a culture of collaboration, innovation, and continuous improvement within the team.

Communication and Collaboration:

- Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders, present solutions, and negotiate project scope.

- Collaborative mindset with the ability to work effectively with cross-functional teams, drive consensus, and build strong relationships with clients and partners.

- Experience in leading client meetings, workshops, and presentations, and managing client expectations throughout the project lifecycle.

(ref:hirist.tech)

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