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Job Description Summary: Loka is looking for a Machine Learning Engineer to work remotely, with the opportunity to work with Silicon Valley startups and Life Science giants. The role involves understanding business objectives, developing models to achieve them, and leading client communications. Candidates must have 4+ years of ML engineering experience, a Bachelor’s degree in Computer Science or related field, proficiency in English, and experience with Python, ML libraries, AI/ML frameworks, statistical, ML, and deep learning algorithms. Soft skills required include curiosity, autonomy, positivity, teamwork, and adaptability. The position offers benefits like every other Friday off, LokaLabs incubator, explore and relocation programs, remote and flexible work, paid sick days and local holidays, and a fitness subscription. Job Description: Building with the latest tools, our Machine Learning teams launch for Silicon Valley startups and Life Science giants alike. Join Loka to work remotely, ship projects you’re proud of and enjoy every other Friday off. The Role Understand business objectives and develop models that help achieve them, plus metrics to track their progress. Design and implement complex ML systems using classical ML, DL and Foundation Models and following best practices. Lead client communications by gathering requirements, managing expectations and communicating deliverables. Wrangle, explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment. Analyze model errors; design strategies to overcome them. Deploy, maintain and upgrade ML models and pipelines. Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork. The Benefits Every other Friday off (26 extra days off a year!) LokaLabs incubator Explore and Relocation programs (three months work abroad or full international relo) Remote and flexible Paid sick days and local holidays Fitness subscription
Company:Loka
Qualifications:The Required Hard Skills 4+ years of ML engineering experience Bachelor’s degree in Computer Science or related Proficient in English Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, Spark etc.) Strong understanding of statistical, ML and deep learning algorithms (candidates with NLP experience preferred) Experience building GenAI solutions including prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc. Experience with MLOps, preferably in AWS (e.g: Sagemaker), as well as standards tools (e.g. MLFlow) Experience visualizing and manipulating big datasets Client-facing experience Clean criminal record The Required Soft Skills Curiosity—Ambition to learn and grow into different industries with a modern tech stack Autonomy and positivity—We’re a fully remote, globally distributed team Teamwork—Enjoy a collaborative approach Adaptability—Operate with a startup mindset and move at a startup pace
Educational level:Bachelor’s Degree
Level of experience (years):Mid Career (2+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
