Sr. Data Scientist

CodeCraft Technologies is an award-winning creative engineering company where highly skilled designers and engineers work closely and bring to life, user-focused solutions.

Proven design & development methodologies are leveraged, and the latest technologies are explored, to deliver best-in-class mobile and web solutions. Our success is built on a team of talented and motivated individuals who drive excellence in everything they do. We are seeking a highly skilled and experienced Lead Data Scientist to join our growing team.

Responsibilities:

● Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.

● Develop custom data models and algorithms to apply to data sets.

● Use predictive modeling to increase and optimize the business process and solutions

● Research and development of AI algorithms and their applicability in business-related problems to build intelligent systems.

● Build a Solid Data Science Team: Provide strategic direction for the data science team. Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous learning.

● Explore the latest technologies in the Data science domain and develop POCs.

● Establish a Technology Partnership with the leading technology providers in the AI/ML space.

● MLOps – Deploy ML solutions to the cloud.

● Collaborate with the content team to produce Tech blogs, case studies, etc.,

Required Skill Set:

● Strong foundational knowledge of data science concepts, machine learning algorithms, and programming skills in Python (and/or R).

● Expertise in Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), image processing and/or video analytics

● Proven track record of supporting global clients or internal stakeholders in data science projects.

● Experience in data analytics, descriptive analytics and predictive analytics

● Experience using AI/ML tools available from cloud service providers like AWS/AZURE/GCP including TensorFlow, SageMaker, and Azure ML

● Experience in deploying solutions to the cloud [AWS/Azure/GCP]

● Experience with Data Visualization tools like PowerBI, Tableau

● Proficient in SQL and other database technologies.

● Good understanding of the latest research and technologies in AI.

● Experience working across multiple geographic borders and time zones

● Outstanding communication and presentation skills

Education:

● Graduation/Post-graduation in Computers/Engineering/Statistics from a reputed institute

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL

Position: Manager/Head- Data Scientist/Machine Learning Engineer

• Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
• AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
• Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
• Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
• Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
• 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
• Proven track record of successful implementation of AI/ML models with tangible business impact.
• Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with image data, including feature extraction, object detection, and classification.
• Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

• Demonstrate ability in NLP/ML/DL project solutions and architectures.
• Strong ability in developing NLP tool and end to end solutions.
• Minimum 1 year of experience in text cleaning, data wrangling, and text mining.
• Good understanding of Rule-based, statistical, and probabilistic NLP techniques.
• Collaborate with analytics team members to design, implement, and develop enterprise-level NLP capabilities, including data engineering, technology platforms, and algorithms.
• Good knowledge of NLP approaches and concepts like topic modelling, text summarization, semantic modelling, Named Entity recognition, etc.
• Evaluate and benchmark the performance of different NLP systems and provide guidance on metrics and best practices.
• Test and deploy promising solutions quickly, managing deadlines and deliverables while applying latest research and techniques.
• Collaborate with business stakeholders to effectively integrate and communicate analysis findings across NLP solutions.

Key Technical Skills:

• Hands on experience in building NLP models using different NLP libraries and toolkit like NLTK, Stanford NLP, TextBlob, OCR etc.
• Strong programming skills in Python
• Good to have programming skill: Java/Scala/C/C++.
• Strong problem solving, logical and communication skills.

Tags: Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Toolkit (NLTK), Analytics

Basic Qualifications:

• Five+ years experience working in a Big Data Software Development role
• Experience managing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Experience working with Python, Scala, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models

What we look for: 

We are looking for an associate who will be doing data crunching from various sources and finding the key points from the data. Also help us to improve/build new pipelines as per the requests. Also, this associate will be helping us to visualize the data if required and find flaws in our existing algorithms. 

Responsibilities: 

• Work with multiple stakeholders to gather the requirements of data or analysis and take action on them. 
• Write new data pipelines and maintain the existing pipelines. 
• Person will be gathering data from various DB’s and will be finding the required metrics out of it. 

Required Skills: 

• Experience with python and Libraries like Pandas,and Numpy. 
• Experience in SQL and understanding of NoSQL DB’s. 
• Hands-on experience in Data engineering. 
• Must have good analytical skills and knowledge of statistics. 
• Understanding of Data Science concepts. 
• Bachelor degree in Computer Science or related field. 
• Problem-solving skills and ability to work under pressure. 

Nice to have: 

• Experience in MongoDB or any NoSql DB. 
• Experience in ElasticSearch. 
• Knowledge of Tableau, Power BI or any other visualization tool.